Snowflake Reviews & Product Details

Snowflake is our datawarehouse that hosts all of our data from several sources that we ingest from. The UI is amazingly easy to use. Features like Cortex and Snowsight are super useful for stakeholders and users who are not very technical. Review collected by and hosted on G2.com.

The cost has been on the higher side, it is definitely related to the huge volumes of data we have. Review collected by and hosted on G2.com.

What I like best about Snowflake is how easy it makes working with large amounts of data without having to manage infrastructure. The separation of storage and compute allows teams to scale resources independently, which improves performance and cost efficiency. I also appreciate its user-friendly interface, fast query performance, secure data sharing capabilities, and strong integration with modern data tools. Overall, Snowflake helps organizations access, analyze, and share data more efficiently, enabling faster and better business decisions. Review collected by and hosted on G2.com.

What I dislike most about Snowflake is that costs can sometimes be difficult to predict, especially when compute resources are scaled up or used inefficiently. While the platform offers strong performance and flexibility, organizations need to monitor usage carefully to avoid unexpected expenses. New users may also face a learning curve when managing warehouses, permissions, and optimization settings. Overall, the benefits are significant, but cost management requires ongoing attention and planning. Review collected by and hosted on G2.com.

Snowflake lets me extract data easily and efficiently, and its clear UI/UX makes it simple to navigate while understanding the structure of databases and tables. It also integrates smoothly with the other tools we use, which helps streamline workflows and boosts overall productivity. In my experience, performance remains strong even with large datasets, and being able to scale resources up or down as needed adds solid value for the pricing. Onboarding is straightforward, with helpful documentation and support available whenever I need it. On top of that, Snowflake’s AI and intelligent features improve data analysis and make it easier to surface meaningful insights quickly. Review collected by and hosted on G2.com.

At times, Snowflake’s UI/UX feels a bit unintuitive when I’m working with complex queries, particularly if I’m leaning on the built-in AI features. The AI can occasionally produce incorrect code or fail to identify the right tables, which hurts productivity and adds extra rework. Integrations are generally solid, but when something breaks between tools, troubleshooting can be time-consuming. Overall performance is usually good, yet inefficient AI-generated queries can still slow things down. From a pricing perspective, those inefficiencies may translate into higher compute costs, which then impacts overall ROI. On top of that, onboarding into more advanced features—especially the AI capabilities—can be challenging, and the available support or documentation doesn’t always fully cover these edge cases. Review collected by and hosted on G2.com.

The best thing I like about Snowflake is its fully managed Software-as-a-Service model, which reduces development and maintenance efforts tremendously. Another feature I really value is the architectural separation of compute and storage, which allows independent scaling of resources and helps optimize operational costs based on real-time workload consumption. Snowflake also enables frictionless, secure data sharing across different business units and external organizations, without requiring physical data replication or complex ETL pipelines. We have integrated Snowflake with API integration implementational dn data moved swiftly without any delay/concurrency. The AI suggestions while building procedure it so matured that it saves lots of development time. Technical support team is very efficient and available on requests. The UI is very smooth Review collected by and hosted on G2.com.

The standard edition restricts users to single cluster warehouse with default concurrency level of 8. This limitation forced us to upgrade to enterprise edition with multi-cluster support with big cut on the project budget. Review collected by and hosted on G2.com.

The way snowflake stores data through clod is the best part in the entire application where all the beginners also can use this snowflake application in easy way without confusion. Also AI/ Intelligence which provides all most all the answers for the user query. Review collected by and hosted on G2.com.

The part I dislike most about the Snowflake application is that it doesn’t allow an on-premises option and is only a cloud-based storage platform. Also, cost-wise it feels a bit high because it consumes more credits, and I’ve noticed low latency as well. Review collected by and hosted on G2.com.

I'm in RevOps, so not 100% your typical user. I mostly use Snowflake to pull datasets and stitch things together in SQL: pipeline questions, customer data, whatever came up that week.

The main thing I like is that I can just do it myself. Write the query, share them, look at what comes back, access them via CLI, drop a quick chart on it in the worksheet to see if the trend is actually there. Before, that meant exporting to a spreadsheet or asking someone on the data team, which usually meant waiting a few days for an answer I needed that afternoon.

I don't need anyone else for the everyday questions anymore. For me that's the whole value. Review collected by and hosted on G2.com.

Nothing really, I struggled a bit with the new worksheet structure but I got the hang of it now Review collected by and hosted on G2.com.

Snowflake storage lets teams work independently with flexible workloads and strong performance, without needing process management. The platforms tools and database features make implementation and day to day management straightforward and the overall performance has been excellent for us. Compute is easy to manage and makes collaboration very reliable across ETL, ML and data queries. Connecting to the platforn is also smooth and works well. Review collected by and hosted on G2.com.

Snowflake requires careful management of compute costs. At the same time, it provides some optimized ETL functionality within Snowflake itself and helps keep the information stored in the database seccure. Review collected by and hosted on G2.com.

I use Snowflake primarily for data warehousing and analytics, and I find it helps me manage large volumes of structured and semi-structured data efficiently with seamless scalability. I appreciate the separation of storage and compute, which allows me to optimize costs while maintaining performance, especially for running complex queries and supporting multiple workloads simultaneously. What I like most about Snowflake includes its ease of use, data sharing capabilities, performance, innovative features, and cloud-native design. The initial setup was fast and simple with minimal configuration, clear documentation, and smooth integrations, allowing the team to work on data pipelines and analytics right away. Additionally, Snowflake's scalability makes it easy for multiple teams to work efficiently without resource conflicts. Review collected by and hosted on G2.com.

I find that costs can spike unexpectedly, and I believe better forecasting tools would help. The advanced features have a steep learning curve, so guided workflows could ease adoption. Some integrations require custom work, and more native connectors would reduce the effort. Query optimization can be opaque, so more transparency would benefit advanced users. Review collected by and hosted on G2.com.

Snowflake is the most powerful data tool right now . It's not limited to data warehouse now . With the current ai capabilities specially cortex like cortex analyst ,cortex agents , ai sql functions this is now an end to end platform for all data things . Specially the cortex code is life changing for etl pipelines,debugging etc. Review collected by and hosted on G2.com.

I think they are shipping a lot of ai features which are great but still need fine tuning and improvements on that . Sometimes they hallucinate and gets a little frustrating . Also I think cortex analyst was pretty expensive so cost sometimes is a downside . Review collected by and hosted on G2.com.

Snowflake makes data movement easy, and scaling compute for heavier workloads is straightforward without requiring much manual tuning. It also helps me keep data secure and I don’t have to worry about provisoning servers or APIs. The Cloud storage setup in Snowflake feels well desgined and I’ve consistently seen solid performace. I also like the integration features and it continues to work well even when the whole team is using it at the same time. The setup process process has been smooth and practical and having the option with both SQL and Python has been great. Review collected by and hosted on G2.com.

Small files can hurt performance, but otherwise data pipelines can faster and cut overalltime. The compute is most useful when it stays simple, efficient, easy to mange and straightforward to operate. Review collected by and hosted on G2.com.